Top Hybrid Machine Learning Engineer Jobs

The role involves designing and deploying machine learning models, optimizing large language models, and collaborating with cross-functional teams to enhance data management for alternative investments.

As a Senior Machine Learning Engineer, you'll create ML models to optimize production processes, collaborating with engineers to enhance manufacturing intelligence.

Lead the design and development of Datadog's experimentation engine, translating complex statistical methods into production systems while collaborating with cross-functional teams and educating stakeholders on best practices.

Lead a team of data scientists at GoodRx, combining hands-on modeling and strategic leadership to deliver machine learning solutions for healthcare affordability.

The role involves developing and deploying end-to-end machine learning models, enhancing valuation systems, and applying advanced AI techniques to improve data-driven decision-making.

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

As an Applied Machine Learning Engineering Intern, you'll build, deploy, and maintain machine learning models, working closely with teams to optimize business solutions.

The Machine Learning Engineer II will build foundational LLM tooling, develop AI capabilities, ensure platform scalability, and collaborate with feature teams to enhance AI development.

The role involves designing and deploying ML models for domain search, including ranking and personalization, while collaborating with cross-functional teams.